Hello! I’m Inpyo Song, a Ph.D. student researching computer vision and artificial intelligence, advised by Prof. Jangwon Lee. My research focuses on video anomaly detection and real-world visual understanding. I study how visual systems can reliably recognize and understand unusual events in complex, open-ended environments, with particular interests in object-centric representations, vision-language models, and reliable evaluation. My broader goal is to build vision systems that remain useful and trustworthy beyond controlled benchmark settings. Also, I am honored to collaborate with Prof. David Crandall from Indiana University Bloomington.
You can find my CV here. I am always open to any form of collaboration. If you have any ideas for potential collaboration, or just feel like having a casual chat, please feel free to reach out!
🔥 News
- Jun. 2026: 🎉 “Bounding-Box Trajectories Matter for Video Anomaly Detection” accepted at ECCV 2026.
- Jun. 2026: 🏆 Received the Outstanding Poster Award at the KIBME Summer Conference 2026.
- Aug. 2025: 🏆 Received the Best Graduate Research Award at the 2025 Digital Innovation Talent Symposium.
- May 2025: 🎉 Two papers accepted at ICIP 2025.
- Feb. 2025: 🏆 Selected for I-Corps Korea Program.
- Dec. 2024: 🎉 One paper accepted at WACV 2025.
- Oct. 2024: 🎉 SFTrack presented as Long Oral Presentation at IROS 2024.
- Oct. 2024: 🏆 Received Excellence Award at SKKU Graduate Student Start-up Competition.
- Sep. 2024: 🎉 One paper accepted at CVIU.
- Aug. 2024: 🏆 Received President’s Award from IITP at 2024 Digital Innovation Talent Symposium.
- Jun. 2024: Thrilled to join the Indiana University Bloomington CVLab as an intern!
- Jun. 2024: 🎉 One paper accepted at IROS 2024.
📝 Publications (Selected)
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Bounding-Box Trajectories Matter for Video Anomaly Detection
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Real-Time Traffic Accident Anticipation with Feature Reuse
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PawPrint: Whose Footprints Are These? Identifying Animal Individuals by Their Footprints
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Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera
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SFTrack: A Robust Scale and Motion Adaptive Algorithm for Tracking Small and Fast Moving Objects
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Action-Conditioned Contrastive Learning for 3D Human Pose and Shape Estimation in Videos
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Motion-Aware Heatmap Regression for Human Pose Estimation in Videos
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Video Question Answering for People with Visual Impairments Using an Egocentric 360-Degree Camera
🎖 Honors and Awards
- Jun. 2026 Outstanding Poster Award, KIBME Summer Conference
- Aug. 2025 Best Graduate Research Award, 2025 Digital Innovation Talent Symposium, Ministry of Science and ICT
- Feb. 2025 Selected for I-Corps Korea Program (VLM-based Arduino Tutor)
- Oct. 2024 Excellence Award, SKKU Graduate Student Startup Competition (Multimodal VQA-Based Tutoring System for the Digital Transformation of Hands-On Education)
- Aug. 2024 President’s Award from IITP, 2024 Digital Innovation Talent Symposium (Motion-Aware Heatmap Regression for Human Pose Estimation in Videos)
- Feb. 2024 Encouragement Award, SKKU Research Matters (Technological Social Responsibility: Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera)
- Dec. 2022 Grand Award from SKKU, KAU Start-up Idea Competition (Generating Digital Twin using Instance-NeRF)
💻 Internships
- Jun. 2024 - Aug. 2024, Research Intern @ Indiana University Bloomington CVLab, Bloomington, IN, USA
🤝 Professional Services
Conference Reviewer
- AAAI 2027
- NeurIPS 2026
- CVPR 2026
- IROS 2026
- AAAI 2026
- WACV 2025
- ICDL 2024